Protect Your Sensitive Data with Google's AI Voice Detector

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Protect Your Sensitive Data with Google's AI Voice Detector

Discover and Protect Your Sensitive Data

Sensitive Data Protection is a fully managed service by Google designed to help you discover, classify, and protect your valuable data assets with ease. It offers visibility into sensitive data and risks across your entire organization, reducing data risk through obfuscation and de-identification. With flexible API support, it covers use cases anywhere, on or off the cloud.

Automated Sensitive Data Discovery

The service provides automated sensitive data discovery and classification, allowing you to continuously monitor your data assets. You can choose from over 200 predefined detectors or create custom ones to fit your needs. By using data asset profiles, you can inform your security, privacy, and compliance posture effectively.

Sensitive Data Intelligence for Security Assessments

Sensitive Data Protection is deeply integrated into Google's Security Command Center Enterprise risk engine. This integration helps in pinpointing high-value assets, analyzing vulnerabilities, and simulating real-world attack scenarios. By proactively addressing security risks, you can safeguard the data that drives your business.

Protecting AI/ML Workloads

The service provides tools to classify and de-identify sensitive elements within your data, helping in preparing data for AI model training or tuning. This protection extends to workloads like chat, data collection, and generative AI, ensuring compliance with regulations and internal policies.

De-Identification and Data Security

Sensitive Data Protection allows for de-identification of data through methods like masking, tokenization, and bucketing. This approach enables you to reduce data risk while retaining data utility. By applying column-level access policies, you can ensure data security and compliance.

Flexible DLP API Support

The service offers Cloud Data Loss Prevention and the DLP API as part of its features. You can leverage the DLP API's support for various Google Cloud services, including in-line content methods for additional data sources. This enables support for custom workloads on or off the cloud, covering a wide range of use cases.

Common Uses and Applications

Sensitive Data Protection allows you to gain awareness of your sensitive data, investigate your storage deeply, understand sensitive anomalies, and automate de-identification processes. With tutorials, quickstarts, and labs available, you can explore various use cases and apply the service effectively in your organization.

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